diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 5cfec4189b1..5037e4df09e 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -30,6 +30,8 @@ New Features
   region to write in the original store. Also implement automatic transpose when dimension
   order does not match the original store. (:issue:`7702`, :issue:`8421`, :pull:`8434`).
   By `Sam Levang <https://github.com/slevang>`_.
+- Allow the usage of h5py drivers (eg: ros3) via h5netcdf (:pull:`8360`).
+  By `Ezequiel Cimadevilla <https://github.com/zequihg50>`_.
 
 Breaking changes
 ~~~~~~~~~~~~~~~~
diff --git a/xarray/backends/h5netcdf_.py b/xarray/backends/h5netcdf_.py
index 19748084625..a68a44b5f6f 100644
--- a/xarray/backends/h5netcdf_.py
+++ b/xarray/backends/h5netcdf_.py
@@ -140,6 +140,8 @@ def open(
         invalid_netcdf=None,
         phony_dims=None,
         decode_vlen_strings=True,
+        driver=None,
+        driver_kwds=None,
     ):
         import h5netcdf
 
@@ -161,7 +163,10 @@ def open(
         kwargs = {
             "invalid_netcdf": invalid_netcdf,
             "decode_vlen_strings": decode_vlen_strings,
+            "driver": driver,
         }
+        if driver_kwds is not None:
+            kwargs.update(driver_kwds)
         if phony_dims is not None:
             kwargs["phony_dims"] = phony_dims
 
@@ -397,6 +402,8 @@ def open_dataset(  # type: ignore[override]  # allow LSP violation, not supporti
         invalid_netcdf=None,
         phony_dims=None,
         decode_vlen_strings=True,
+        driver=None,
+        driver_kwds=None,
     ) -> Dataset:
         filename_or_obj = _normalize_path(filename_or_obj)
         store = H5NetCDFStore.open(
@@ -407,6 +414,8 @@ def open_dataset(  # type: ignore[override]  # allow LSP violation, not supporti
             invalid_netcdf=invalid_netcdf,
             phony_dims=phony_dims,
             decode_vlen_strings=decode_vlen_strings,
+            driver=driver,
+            driver_kwds=driver_kwds,
         )
 
         store_entrypoint = StoreBackendEntrypoint()
diff --git a/xarray/tests/__init__.py b/xarray/tests/__init__.py
index 4f9c188e6a6..fec695f83d7 100644
--- a/xarray/tests/__init__.py
+++ b/xarray/tests/__init__.py
@@ -94,6 +94,10 @@ def _importorskip(
 requires_pandas_version_two = pytest.mark.skipif(
     not has_pandas_version_two, reason="requires pandas 2.0.0"
 )
+has_h5netcdf_ros3 = _importorskip("h5netcdf", "1.3.0")
+requires_h5netcdf_ros3 = pytest.mark.skipif(
+    not has_h5netcdf_ros3[0], reason="requires h5netcdf 1.3.0"
+)
 
 # change some global options for tests
 set_options(warn_for_unclosed_files=True)
diff --git a/xarray/tests/test_backends.py b/xarray/tests/test_backends.py
index 1c8a24770d7..80b6951dbff 100644
--- a/xarray/tests/test_backends.py
+++ b/xarray/tests/test_backends.py
@@ -69,6 +69,7 @@
     requires_dask,
     requires_fsspec,
     requires_h5netcdf,
+    requires_h5netcdf_ros3,
     requires_iris,
     requires_netCDF4,
     requires_pydap,
@@ -3448,6 +3449,34 @@ def test_write_inconsistent_chunks(self) -> None:
             assert actual["y"].encoding["chunksizes"] == (100, 50)
 
 
+@requires_h5netcdf_ros3
+class TestH5NetCDFDataRos3Driver(TestCommon):
+    engine: T_NetcdfEngine = "h5netcdf"
+    test_remote_dataset: str = (
+        "https://www.unidata.ucar.edu/software/netcdf/examples/OMI-Aura_L2-example.nc"
+    )
+
+    def test_get_variable_list(self) -> None:
+        with open_dataset(
+            self.test_remote_dataset,
+            engine="h5netcdf",
+            backend_kwargs={"driver": "ros3"},
+        ) as actual:
+            assert "Temperature" in list(actual)
+
+    def test_get_variable_list_empty_driver_kwds(self) -> None:
+        driver_kwds = {
+            "secret_id": b"",
+            "secret_key": b"",
+        }
+        backend_kwargs = {"driver": "ros3", "driver_kwds": driver_kwds}
+
+        with open_dataset(
+            self.test_remote_dataset, engine="h5netcdf", backend_kwargs=backend_kwargs
+        ) as actual:
+            assert "Temperature" in list(actual)
+
+
 @pytest.fixture(params=["scipy", "netcdf4", "h5netcdf", "pynio", "zarr"])
 def readengine(request):
     return request.param